Data Quality Profile Report

Dataset statistics

Number of variables	19
Number of observations	451
Missing cells	1
Missing cells (%)	< 0.1%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	440.7 KiB
Average record size in memory	1000.5 B

Variable types

Categorical	5
Numeric	7
DateTime	3
Boolean	1
Text	3

Alerts

`nsfw` has constant value "False"	Constant
`Predicted post score` is highly overall correlated with `Time Since Post` and 4 other fields	High correlation
`Time Since Post` is highly overall correlated with `Predicted post score` and 4 other fields	High correlation
`engagement_percentage` is highly overall correlated with `engagement_score` and 6 other fields	High correlation
`engagement_score` is highly overall correlated with `engagement_percentage` and 6 other fields	High correlation
`number of comments` is highly overall correlated with `engagement_percentage` and 6 other fields	High correlation
`post id` is highly overall correlated with `Predicted post score` and 8 other fields	High correlation
`post score` is highly overall correlated with `engagement_percentage` and 6 other fields	High correlation
`post title` is highly overall correlated with `Predicted post score` and 8 other fields	High correlation
`post url` is highly overall correlated with `Predicted post score` and 8 other fields	High correlation
`posted by` is highly overall correlated with `Predicted post score` and 8 other fields	High correlation
`post flag` is highly imbalanced (59.9%)	Imbalance
`comment id` has unique values	Unique
`post score` has 46 (10.2%) zeros	Zeros
`comment score` has 14 (3.1%) zeros	Zeros
`Time Since Post` has 22 (4.9%) zeros	Zeros

Reproduction

Analysis started	2025-01-24 20:30:24.181147
Analysis finished	2025-01-24 20:30:34.726376
Duration	10.55 seconds
Software version	ydata-profiling vv4.10.0
Download configuration	config.json

post id
Categorical

HIGH CORRELATION

Distinct	20
Distinct (%)	4.4%
Missing	0
Missing (%)	0.0%
Memory size	28.3 KiB

1i6ihle	71
1i8vqlf	50
1i5j5b4	46
1i4ulhz	44
1i6329d	42
Other values (15)	198

Length

Max length	7
Median length	7
Mean length	7
Min length	7

Characters and Unicode

Total characters	3157
Distinct characters	35
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2 ?
Unique (%)	0.4%

Sample

1st row	1i91b7m
2nd row	1i91b7m
3rd row	1i91b7m
4th row	1i91b7m
5th row	1i91b7m

Common Values

Value	Count	Frequency (%)
1i6ihle	71	15.7%
1i8vqlf	50	11.1%
1i5j5b4	46	10.2%
1i4ulhz	44	9.8%
1i6329d	42	9.3%
1i55gki	30	6.7%
1i91b7m	22	4.9%
1i8j7mf	22	4.9%
1i6k33h	21	4.7%
1i72rjx	19	4.2%
Other values (10)	84	18.6%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
1i6ihle	71	15.7%
1i8vqlf	50	11.1%
1i5j5b4	46	10.2%
1i4ulhz	44	9.8%
1i6329d	42	9.3%
1i55gki	30	6.7%
1i91b7m	22	4.9%
1i8j7mf	22	4.9%
1i6k33h	21	4.7%
1i72rjx	19	4.2%
Other values (10)	84	18.6%

Most occurring characters

Value	Count	Frequency (%)
i	553	17.5%
1	491	15.6%
5	199	6.3%
l	166	5.3%
6	160	5.1%
h	143	4.5%
8	114	3.6%
7	94	3.0%
4	91	2.9%
j	91	2.9%
Other values (25)	1055	33.4%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	3157	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
i	553	17.5%
1	491	15.6%
5	199	6.3%
l	166	5.3%
6	160	5.1%
h	143	4.5%
8	114	3.6%
7	94	3.0%
4	91	2.9%
j	91	2.9%
Other values (25)	1055	33.4%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	3157	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
i	553	17.5%
1	491	15.6%
5	199	6.3%
l	166	5.3%
6	160	5.1%
h	143	4.5%
8	114	3.6%
7	94	3.0%
4	91	2.9%
j	91	2.9%
Other values (25)	1055	33.4%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	3157	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
i	553	17.5%
1	491	15.6%
5	199	6.3%
l	166	5.3%
6	160	5.1%
h	143	4.5%
8	114	3.6%
7	94	3.0%
4	91	2.9%
j	91	2.9%
Other values (25)	1055	33.4%

post title
Categorical

HIGH CORRELATION

Distinct	20
Distinct (%)	4.4%
Missing	0
Missing (%)	0.0%
Memory size	43.4 KiB

Favorite comfort food	71
What's the weirdest food combination you secretly love?	50
Vegetarian indian food that is low in gluten	46
How to consume amla without the sour taste?	44
Coriander substitute for butter chicken? (US, minimal experience)	42
Other values (15)	198

Length

Max length	72
Median length	60
Mean length	41.27051
Min length	17

Characters and Unicode

Total characters	18613
Distinct characters	53
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2 ?
Unique (%)	0.4%

Sample

1st row	Which type of onions do you like best when cooking indian food?
2nd row	Which type of onions do you like best when cooking indian food?
3rd row	Which type of onions do you like best when cooking indian food?
4th row	Which type of onions do you like best when cooking indian food?
5th row	Which type of onions do you like best when cooking indian food?

Common Values

Value	Count	Frequency (%)
Favorite comfort food	71	15.7%
What's the weirdest food combination you secretly love?	50	11.1%
Vegetarian indian food that is low in gluten	46	10.2%
How to consume amla without the sour taste?	44	9.8%
Coriander substitute for butter chicken? (US, minimal experience)	42	9.3%
Does Indian food mean vegetarian food?	30	6.7%
Which type of onions do you like best when cooking indian food?	22	4.9%
Hit me with your fave lamb curry recipes	22	4.9%
MTR Dosa mix fail	21	4.7%
Dishes to pack and take on journeys?	19	4.2%
Other values (10)	84	18.6%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
food	268	8.8%
indian	116	3.8%
the	112	3.7%
favorite	82	2.7%
comfort	82	2.7%
vegetarian	76	2.5%
to	74	2.4%
for	73	2.4%
you	72	2.4%
that	64	2.1%
Other values (99)	2017	66.4%

Most occurring characters

Value	Count	Frequency (%)
	2674	14.4%
o	1822	9.8%
e	1606	8.6%
t	1372	7.4%
i	1281	6.9%
a	1045	5.6%
n	1009	5.4%
r	868	4.7%
s	758	4.1%
d	636	3.4%
Other values (43)	5542	29.8%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	18613	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
	2674	14.4%
o	1822	9.8%
e	1606	8.6%
t	1372	7.4%
i	1281	6.9%
a	1045	5.6%
n	1009	5.4%
r	868	4.7%
s	758	4.1%
d	636	3.4%
Other values (43)	5542	29.8%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	18613	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
	2674	14.4%
o	1822	9.8%
e	1606	8.6%
t	1372	7.4%
i	1281	6.9%
a	1045	5.6%
n	1009	5.4%
r	868	4.7%
s	758	4.1%
d	636	3.4%
Other values (43)	5542	29.8%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	18613	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
	2674	14.4%
o	1822	9.8%
e	1606	8.6%
t	1372	7.4%
i	1281	6.9%
a	1045	5.6%
n	1009	5.4%
r	868	4.7%
s	758	4.1%
d	636	3.4%
Other values (43)	5542	29.8%

post url
Categorical

HIGH CORRELATION

Distinct	20
Distinct (%)	4.4%
Missing	0
Missing (%)	0.0%
Memory size	64.8 KiB

https://www.reddit.com/r/IndianFood/comments/1i6ihle/favorite_comfort_food/	71
https://www.reddit.com/r/IndianFood/comments/1i8vqlf/whats_the_weirdest_food_combination_you_secretly/	50
https://www.reddit.com/r/IndianFood/comments/1i5j5b4/vegetarian_indian_food_that_is_low_in_gluten/	46
https://www.reddit.com/r/IndianFood/comments/1i4ulhz/how_to_consume_amla_without_the_sour_taste/	44
https://www.reddit.com/r/IndianFood/comments/1i6329d/coriander_substitute_for_butter_chicken_us/	42
Other values (15)	198

Length

Max length	103
Median length	101
Mean length	89.902439
Min length	71

Characters and Unicode

Total characters	40546
Distinct characters	42
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2 ?
Unique (%)	0.4%

Sample

1st row	https://www.reddit.com/r/IndianFood/comments/1i91b7m/which_type_of_onions_do_you_like_best_when/
2nd row	https://www.reddit.com/r/IndianFood/comments/1i91b7m/which_type_of_onions_do_you_like_best_when/
3rd row	https://www.reddit.com/r/IndianFood/comments/1i91b7m/which_type_of_onions_do_you_like_best_when/
4th row	https://www.reddit.com/r/IndianFood/comments/1i91b7m/which_type_of_onions_do_you_like_best_when/
5th row	https://www.reddit.com/r/IndianFood/comments/1i91b7m/which_type_of_onions_do_you_like_best_when/

Common Values

Value	Count	Frequency (%)
https://www.reddit.com/r/IndianFood/comments/1i6ihle/favorite_comfort_food/	71	15.7%
https://www.reddit.com/r/IndianFood/comments/1i8vqlf/whats_the_weirdest_food_combination_you_secretly/	50	11.1%
https://www.reddit.com/r/IndianFood/comments/1i5j5b4/vegetarian_indian_food_that_is_low_in_gluten/	46	10.2%
https://www.reddit.com/r/IndianFood/comments/1i4ulhz/how_to_consume_amla_without_the_sour_taste/	44	9.8%
https://www.reddit.com/r/IndianFood/comments/1i6329d/coriander_substitute_for_butter_chicken_us/	42	9.3%
https://www.reddit.com/r/IndianFood/comments/1i55gki/does_indian_food_mean_vegetarian_food/	30	6.7%
https://www.reddit.com/r/IndianFood/comments/1i91b7m/which_type_of_onions_do_you_like_best_when/	22	4.9%
https://www.reddit.com/r/IndianFood/comments/1i8j7mf/hit_me_with_your_fave_lamb_curry_recipes/	22	4.9%
https://www.reddit.com/r/IndianFood/comments/1i6k33h/mtr_dosa_mix_fail/	21	4.7%
https://www.reddit.com/r/IndianFood/comments/1i72rjx/dishes_to_pack_and_take_on_journeys/	19	4.2%
Other values (10)	84	18.6%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
https://www.reddit.com/r/indianfood/comments/1i6ihle/favorite_comfort_food	71	15.7%
https://www.reddit.com/r/indianfood/comments/1i8vqlf/whats_the_weirdest_food_combination_you_secretly	50	11.1%
https://www.reddit.com/r/indianfood/comments/1i5j5b4/vegetarian_indian_food_that_is_low_in_gluten	46	10.2%
https://www.reddit.com/r/indianfood/comments/1i4ulhz/how_to_consume_amla_without_the_sour_taste	44	9.8%
https://www.reddit.com/r/indianfood/comments/1i6329d/coriander_substitute_for_butter_chicken_us	42	9.3%
https://www.reddit.com/r/indianfood/comments/1i55gki/does_indian_food_mean_vegetarian_food	30	6.7%
https://www.reddit.com/r/indianfood/comments/1i91b7m/which_type_of_onions_do_you_like_best_when	22	4.9%
https://www.reddit.com/r/indianfood/comments/1i8j7mf/hit_me_with_your_fave_lamb_curry_recipes	22	4.9%
https://www.reddit.com/r/indianfood/comments/1i6k33h/mtr_dosa_mix_fail	21	4.7%
https://www.reddit.com/r/indianfood/comments/1i72rjx/dishes_to_pack_and_take_on_journeys	19	4.2%
Other values (10)	84	18.6%

Most occurring characters

Value	Count	Frequency (%)
/	3608	8.9%
o	3500	8.6%
t	3196	7.9%
i	2575	6.4%
d	2493	6.1%
_	2330	5.7%
e	2317	5.7%
n	2202	5.4%
m	1746	4.3%
r	1741	4.3%
Other values (32)	14838	36.6%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	40546	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
/	3608	8.9%
o	3500	8.6%
t	3196	7.9%
i	2575	6.4%
d	2493	6.1%
_	2330	5.7%
e	2317	5.7%
n	2202	5.4%
m	1746	4.3%
r	1741	4.3%
Other values (32)	14838	36.6%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	40546	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
/	3608	8.9%
o	3500	8.6%
t	3196	7.9%
i	2575	6.4%
d	2493	6.1%
_	2330	5.7%
e	2317	5.7%
n	2202	5.4%
m	1746	4.3%
r	1741	4.3%
Other values (32)	14838	36.6%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	40546	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
/	3608	8.9%
o	3500	8.6%
t	3196	7.9%
i	2575	6.4%
d	2493	6.1%
_	2330	5.7%
e	2317	5.7%
n	2202	5.4%
m	1746	4.3%
r	1741	4.3%
Other values (32)	14838	36.6%

post score
Real number (ℝ)

HIGH CORRELATION ZEROS

Distinct	10
Distinct (%)	2.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	8.7117517

Minimum	0
Maximum	20
Zeros	46
Zeros (%)	10.2%
Negative	0
Negative (%)	0.0%
Memory size	3.6 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	4
median	7
Q3	11
95-th percentile	20
Maximum	20
Range	20
Interquartile range (IQR)	7

Descriptive statistics

Standard deviation	6.3656243
Coefficient of variation (CV)	0.73069396
Kurtosis	-0.71431883
Mean	8.7117517
Median Absolute Deviation (MAD)	4
Skewness	0.57545307
Sum	3929
Variance	40.521173
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
11	88	19.5%
20	71	15.7%
7	63	14.0%
4	57	12.6%
0	46	10.2%
8	44	9.8%
5	22	4.9%
3	22	4.9%
1	20	4.4%
18	18	4.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	46	10.2%
1	20	4.4%
3	22	4.9%
4	57	12.6%
5	22	4.9%
7	63	14.0%
8	44	9.8%
11	88	19.5%
18	18	4.0%
20	71	15.7%

Value	Count	Frequency (%)
20	71	15.7%
18	18	4.0%
11	88	19.5%
8	44	9.8%
7	63	14.0%
5	22	4.9%
4	57	12.6%
3	22	4.9%
1	20	4.4%
0	46	10.2%

posted by
Categorical

HIGH CORRELATION

Distinct	20
Distinct (%)	4.4%
Missing	0
Missing (%)	0.0%
Memory size	31.5 KiB

jonstonprods	71
Nuclear_FartBlasts	50
Thin_Letterhead_9195	46
cool_cat1549	44
ThadTheHusky	42
Other values (15)	198

Length

Max length	20
Median length	18
Mean length	14.141907
Min length	7

Characters and Unicode

Total characters	6378
Distinct characters	48
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2 ?
Unique (%)	0.4%

Sample

1st row	krishnab75
2nd row	krishnab75
3rd row	krishnab75
4th row	krishnab75
5th row	krishnab75

Common Values

Value	Count	Frequency (%)
jonstonprods	71	15.7%
Nuclear_FartBlasts	50	11.1%
Thin_Letterhead_9195	46	10.2%
cool_cat1549	44	9.8%
ThadTheHusky	42	9.3%
iMarcoPolo007	30	6.7%
krishnab75	22	4.9%
challawarra	22	4.9%
zoechowber	21	4.7%
ECrispy	19	4.2%
Other values (10)	84	18.6%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
jonstonprods	71	15.7%
nuclear_fartblasts	50	11.1%
thin_letterhead_9195	46	10.2%
cool_cat1549	44	9.8%
thadthehusky	42	9.3%
imarcopolo007	30	6.7%
krishnab75	22	4.9%
challawarra	22	4.9%
zoechowber	21	4.7%
ecrispy	19	4.2%
Other values (10)	84	18.6%

Most occurring characters

Value	Count	Frequency (%)
a	536	8.4%
o	506	7.9%
r	411	6.4%
e	378	5.9%
s	372	5.8%
t	355	5.6%
n	323	5.1%
h	314	4.9%
c	264	4.1%
l	261	4.1%
Other values (38)	2658	41.7%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	6378	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
a	536	8.4%
o	506	7.9%
r	411	6.4%
e	378	5.9%
s	372	5.8%
t	355	5.6%
n	323	5.1%
h	314	4.9%
c	264	4.1%
l	261	4.1%
Other values (38)	2658	41.7%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	6378	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
a	536	8.4%
o	506	7.9%
r	411	6.4%
e	378	5.9%
s	372	5.8%
t	355	5.6%
n	323	5.1%
h	314	4.9%
c	264	4.1%
l	261	4.1%
Other values (38)	2658	41.7%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	6378	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
a	536	8.4%
o	506	7.9%
r	411	6.4%
e	378	5.9%
s	372	5.8%
t	355	5.6%
n	323	5.1%
h	314	4.9%
c	264	4.1%
l	261	4.1%
Other values (38)	2658	41.7%

post date
Date

Distinct	20
Distinct (%)	4.4%
Missing	0
Missing (%)	0.0%
Memory size	3.6 KiB

Minimum	2025-01-19 09:11:20
Maximum	2025-01-24 17:48:16

Histogram

Histogram with fixed size bins (bins=20)

nsfw
Boolean

CONSTANT

Distinct	1
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	579.0 B

False	451

Common Values (Table)
Common Values (Plot)

Value	Count	Frequency (%)
False	451	100.0%

number of comments
Real number (ℝ)

HIGH CORRELATION

Distinct	16
Distinct (%)	3.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	38.055432

Minimum	1
Maximum	72
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	3.6 KiB

Quantile statistics

Minimum	1
5-th percentile	8
Q1	21
median	42
Q3	50
95-th percentile	72
Maximum	72
Range	71
Interquartile range (IQR)	29

Descriptive statistics

Standard deviation	19.69713
Coefficient of variation (CV)	0.51759049
Kurtosis	-0.83021016
Mean	38.055432
Median Absolute Deviation (MAD)	19
Skewness	0.27416626
Sum	17163
Variance	387.97692
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=16)

Value	Count	Frequency (%)
72	71	15.7%
50	50	11.1%
45	46	10.2%
23	44	9.8%
44	44	9.8%
42	42	9.3%
18	35	7.8%
30	30	6.7%
21	21	4.7%
19	19	4.2%
Other values (6)	49	10.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	2	0.4%
4	8	1.8%
7	7	1.6%
8	8	1.8%
11	11	2.4%
13	13	2.9%
18	35	7.8%
19	19	4.2%
21	21	4.7%
23	44	9.8%

Value	Count	Frequency (%)
72	71	15.7%
50	50	11.1%
45	46	10.2%
44	44	9.8%
42	42	9.3%
30	30	6.7%
23	44	9.8%
21	21	4.7%
19	19	4.2%
18	35	7.8%

comment id
Text

UNIQUE

Distinct	451
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	28.3 KiB

Length

Max length	7
Median length	7
Mean length	7
Min length	7

Characters and Unicode

Total characters	3157
Distinct characters	36
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	451 ?
Unique (%)	100.0%

Sample

1st row	m8yb17e
2nd row	m8yewgd
3rd row	m8y8ia0
4th row	m8y5e3c
5th row	m8ycf4l

Value	Count	Frequency (%)
m8yb17e	1	0.2%
m8v1mnr	1	0.2%
m8y8ia0	1	0.2%
m8y5e3c	1	0.2%
m8ycf4l	1	0.2%
m8yew7r	1	0.2%
m8yhnyx	1	0.2%
m8ym7vj	1	0.2%
m8y4dyq	1	0.2%
m8ya0io	1	0.2%
Other values (441)	441	97.8%

Most occurring characters

Value	Count	Frequency (%)
m	514	16.3%
8	479	15.2%
x	93	2.9%
y	91	2.9%
0	90	2.9%
d	84	2.7%
7	83	2.6%
u	80	2.5%
b	73	2.3%
5	72	2.3%
Other values (26)	1498	47.5%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	3157	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
m	514	16.3%
8	479	15.2%
x	93	2.9%
y	91	2.9%
0	90	2.9%
d	84	2.7%
7	83	2.6%
u	80	2.5%
b	73	2.3%
5	72	2.3%
Other values (26)	1498	47.5%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	3157	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
m	514	16.3%
8	479	15.2%
x	93	2.9%
y	91	2.9%
0	90	2.9%
d	84	2.7%
7	83	2.6%
u	80	2.5%
b	73	2.3%
5	72	2.3%
Other values (26)	1498	47.5%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	3157	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
m	514	16.3%
8	479	15.2%
x	93	2.9%
y	91	2.9%
0	90	2.9%
d	84	2.7%
7	83	2.6%
u	80	2.5%
b	73	2.3%
5	72	2.3%
Other values (26)	1498	47.5%

comment author
Text

Distinct	254
Distinct (%)	56.4%
Missing	1
Missing (%)	0.2%
Memory size	31.0 KiB

Length

Max length	20
Median length	15
Mean length	13.257778
Min length	4

Characters and Unicode

Total characters	5966
Distinct characters	62
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	172 ?
Unique (%)	38.2%

Sample

1st row	MrMcgoomom
2nd row	cymshah
3rd row	No-Record3007
4th row	shay7700
5th row	MattSk87

Value	Count	Frequency (%)
cool_cat1549	13	2.9%
anatolian-shepherd-1	11	2.4%
imarcopolo007	10	2.2%
oarmash	10	2.2%
56kandfalling	8	1.8%
hot_king1901	7	1.6%
jonstonprods	7	1.6%
adeptnessmain4170	6	1.3%
reasonable_war5271	6	1.3%
dogil_saram	6	1.3%
Other values (244)	366	81.3%

Most occurring characters

Value	Count	Frequency (%)
a	505	8.5%
e	422	7.1%
o	359	6.0%
r	326	5.5%
n	321	5.4%
i	321	5.4%
t	283	4.7%
s	247	4.1%
l	221	3.7%
u	161	2.7%
Other values (52)	2800	46.9%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	5966	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
a	505	8.5%
e	422	7.1%
o	359	6.0%
r	326	5.5%
n	321	5.4%
i	321	5.4%
t	283	4.7%
s	247	4.1%
l	221	3.7%
u	161	2.7%
Other values (52)	2800	46.9%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	5966	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
a	505	8.5%
e	422	7.1%
o	359	6.0%
r	326	5.5%
n	321	5.4%
i	321	5.4%
t	283	4.7%
s	247	4.1%
l	221	3.7%
u	161	2.7%
Other values (52)	2800	46.9%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	5966	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
a	505	8.5%
e	422	7.1%
o	359	6.0%
r	326	5.5%
n	321	5.4%
i	321	5.4%
t	283	4.7%
s	247	4.1%
l	221	3.7%
u	161	2.7%
Other values (52)	2800	46.9%

comment score
Real number (ℝ)

ZEROS

Distinct	29
Distinct (%)	6.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2.5321508

Minimum	-10
Maximum	73
Zeros	14
Zeros (%)	3.1%
Negative	11
Negative (%)	2.4%
Memory size	3.6 KiB

Quantile statistics

Minimum	-10
5-th percentile	0
Q1	1
median	2
Q3	2.5
95-th percentile	8
Maximum	73
Range	83
Interquartile range (IQR)	1.5

Descriptive statistics

Standard deviation	4.7338694
Coefficient of variation (CV)	1.8695053
Kurtosis	112.9944
Mean	2.5321508
Median Absolute Deviation (MAD)	1
Skewness	8.4053166
Sum	1142
Variance	22.40952
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=29)

Value	Count	Frequency (%)
1	197	43.7%
2	116	25.7%
3	40	8.9%
5	15	3.3%
0	14	3.1%
4	12	2.7%
7	10	2.2%
6	9	2.0%
8	7	1.6%
9	4	0.9%
Other values (19)	27	6.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
-10	2	0.4%
-8	1	0.2%
-7	1	0.2%
-6	1	0.2%
-4	1	0.2%
-3	1	0.2%
-2	1	0.2%
-1	3	0.7%
0	14	3.1%
1	197	43.7%

Value	Count	Frequency (%)
73	1	0.2%
30	1	0.2%
25	1	0.2%
18	2	0.4%
17	1	0.2%
16	1	0.2%
15	2	0.4%
13	2	0.4%
12	1	0.2%
11	2	0.4%

comment body
Text

Distinct	450
Distinct (%)	99.8%
Missing	0
Missing (%)	0.0%
Memory size	145.2 KiB

Length

Max length	2053
Median length	295
Mean length	171.36142
Min length	2

Characters and Unicode

Total characters	77284
Distinct characters	112
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	449 ?
Unique (%)	99.6%

Sample

1st row	Red. Always. Thankfully they are now more widely available in the US. A few years ago I struggled to find red onions, cilantro and green chillies n grocery stores.
2nd row	Depends on what I'm making. Tomato-onion gravies (pav bhaji, chole chana, etc.) Use almost always red onions or whatever is on hand. For biryani/pulao, shallots. In salads, white or red onions. Onion pakora - red or large yellow onions
3rd row	Also in America. Red onions. White ones don’t hold the flavour and nobody likes the white ones , even in salads.
4th row	I’m Gujarati in America. We use yellow onions in cooking and a sweet white onion for salads
5th row	Small red onions or shallots. Red ones are much cheaper.

Value	Count	Frequency (%)
the	409	3.1%
and	364	2.8%
a	280	2.1%
to	251	1.9%
i	237	1.8%
you	212	1.6%
in	207	1.6%
of	207	1.6%
it	205	1.6%
is	193	1.5%
Other values (2777)	10644	80.6%

Most occurring characters

Value	Count	Frequency (%)
	12674	16.4%
e	6414	8.3%
a	5625	7.3%
t	5225	6.8%
o	4592	5.9%
i	4228	5.5%
n	3918	5.1%
s	3670	4.7%
r	3491	4.5%
h	2617	3.4%
Other values (102)	24830	32.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	77284	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
	12674	16.4%
e	6414	8.3%
a	5625	7.3%
t	5225	6.8%
o	4592	5.9%
i	4228	5.5%
n	3918	5.1%
s	3670	4.7%
r	3491	4.5%
h	2617	3.4%
Other values (102)	24830	32.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	77284	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
	12674	16.4%
e	6414	8.3%
a	5625	7.3%
t	5225	6.8%
o	4592	5.9%
i	4228	5.5%
n	3918	5.1%
s	3670	4.7%
r	3491	4.5%
h	2617	3.4%
Other values (102)	24830	32.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	77284	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
	12674	16.4%
e	6414	8.3%
a	5625	7.3%
t	5225	6.8%
o	4592	5.9%
i	4228	5.5%
n	3918	5.1%
s	3670	4.7%
r	3491	4.5%
h	2617	3.4%
Other values (102)	24830	32.1%

comment date
Date

Distinct	450
Distinct (%)	99.8%
Missing	0
Missing (%)	0.0%
Memory size	3.6 KiB

Minimum	2025-01-19 09:17:58
Maximum	2025-01-24 20:09:05

Histogram

Histogram with fixed size bins (bins=50)

parsed post date
Date

Distinct	20
Distinct (%)	4.4%
Missing	0
Missing (%)	0.0%
Memory size	3.6 KiB

Minimum	2025-01-19 09:11:20
Maximum	2025-01-24 17:48:16

Histogram

Histogram with fixed size bins (bins=20)

post flag
Categorical

IMBALANCE

Distinct	4
Distinct (%)	0.9%
Missing	0
Missing (%)	0.0%
Memory size	33.3 KiB

Only Text(No spam)	378
Too Short Message	48
Promotional content and link	24
Removed or Deleted Post	1

Length

Max length	28
Median length	18
Mean length	18.436807
Min length	17

Characters and Unicode

Total characters	8315
Distinct characters	30
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	0.2%

Sample

1st row	Only Text(No spam)
2nd row	Only Text(No spam)
3rd row	Only Text(No spam)
4th row	Only Text(No spam)
5th row	Only Text(No spam)

Common Values

Value	Count	Frequency (%)
Only Text(No spam)	378	83.8%
Too Short Message	48	10.6%
Promotional content and link	24	5.3%
Removed or Deleted Post	1	0.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
only	378	27.4%
text(no	378	27.4%
spam	378	27.4%
too	48	3.5%
short	48	3.5%
message	48	3.5%
promotional	24	1.7%
content	24	1.7%
and	24	1.7%
link	24	1.7%
Other values (4)	4	0.3%

Most occurring characters

Value	Count	Frequency (%)
	927	11.1%
o	621	7.5%
e	503	6.0%
t	500	6.0%
n	498	6.0%
s	475	5.7%
a	474	5.7%
l	427	5.1%
T	426	5.1%
m	403	4.8%
Other values (20)	3061	36.8%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	8315	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
	927	11.1%
o	621	7.5%
e	503	6.0%
t	500	6.0%
n	498	6.0%
s	475	5.7%
a	474	5.7%
l	427	5.1%
T	426	5.1%
m	403	4.8%
Other values (20)	3061	36.8%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	8315	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
	927	11.1%
o	621	7.5%
e	503	6.0%
t	500	6.0%
n	498	6.0%
s	475	5.7%
a	474	5.7%
l	427	5.1%
T	426	5.1%
m	403	4.8%
Other values (20)	3061	36.8%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	8315	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
	927	11.1%
o	621	7.5%
e	503	6.0%
t	500	6.0%
n	498	6.0%
s	475	5.7%
a	474	5.7%
l	427	5.1%
T	426	5.1%
m	403	4.8%
Other values (20)	3061	36.8%

engagement_score
Real number (ℝ)

HIGH CORRELATION

Distinct	18
Distinct (%)	4.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	65.7949

Minimum	1.5
Maximum	128
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	3.6 KiB

Quantile statistics

Minimum	1.5
5-th percentile	13
Q1	37.5
median	74
Q3	82
95-th percentile	128
Maximum	128
Range	126.5
Interquartile range (IQR)	44.5

Descriptive statistics

Standard deviation	34.691747
Coefficient of variation (CV)	0.52727106
Kurtosis	-0.65889395
Mean	65.7949
Median Absolute Deviation (MAD)	29
Skewness	0.40211178
Sum	29673.5
Variance	1203.5173
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=18)

Value	Count	Frequency (%)
74	86	19.1%
128	71	15.7%
82	50	11.1%
45	48	10.6%
78.5	46	10.2%
39.5	22	4.9%
37.5	22	4.9%
35.5	21	4.7%
32.5	19	4.2%
31	17	3.8%
Other values (8)	49	10.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1.5	1	0.2%
2.5	1	0.2%
6	4	0.9%
7	4	0.9%
11.5	7	1.6%
13	8	1.8%
16.5	11	2.4%
26.5	13	2.9%
31	17	3.8%
32.5	19	4.2%

Value	Count	Frequency (%)
128	71	15.7%
82	50	11.1%
78.5	46	10.2%
74	86	19.1%
45	48	10.6%
39.5	22	4.9%
37.5	22	4.9%
35.5	21	4.7%
32.5	19	4.2%
31	17	3.8%

engagement_percentage
Real number (ℝ)

HIGH CORRELATION

Distinct	18
Distinct (%)	4.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.51402266

Minimum	0.01171875
Maximum	1
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	3.6 KiB

Quantile statistics

Minimum	0.01171875
5-th percentile	0.1015625
Q1	0.29296875
median	0.578125
Q3	0.640625
95-th percentile	1
Maximum	1
Range	0.98828125
Interquartile range (IQR)	0.34765625

Descriptive statistics

Standard deviation	0.27102927
Coefficient of variation (CV)	0.52727106
Kurtosis	-0.65889395
Mean	0.51402266
Median Absolute Deviation (MAD)	0.2265625
Skewness	0.40211178
Sum	231.82422
Variance	0.073456866
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=18)

Value	Count	Frequency (%)
0.578125	86	19.1%
1	71	15.7%
0.640625	50	11.1%
0.3515625	48	10.6%
0.61328125	46	10.2%
0.30859375	22	4.9%
0.29296875	22	4.9%
0.27734375	21	4.7%
0.25390625	19	4.2%
0.2421875	17	3.8%
Other values (8)	49	10.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0.01171875	1	0.2%
0.01953125	1	0.2%
0.046875	4	0.9%
0.0546875	4	0.9%
0.08984375	7	1.6%
0.1015625	8	1.8%
0.12890625	11	2.4%
0.20703125	13	2.9%
0.2421875	17	3.8%
0.25390625	19	4.2%

Value	Count	Frequency (%)
1	71	15.7%
0.640625	50	11.1%
0.61328125	46	10.2%
0.578125	86	19.1%
0.3515625	48	10.6%
0.30859375	22	4.9%
0.29296875	22	4.9%
0.27734375	21	4.7%
0.25390625	19	4.2%
0.2421875	17	3.8%

Time Since Post
Real number (ℝ)

HIGH CORRELATION ZEROS

Distinct	20
Distinct (%)	4.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	74.239659

Minimum	0
Maximum	128.61556
Zeros	22
Zeros (%)	4.9%
Negative	0
Negative (%)	0.0%
Memory size	3.6 KiB

Quantile statistics

Minimum	0
5-th percentile	2.4341667
Q1	24.641389
median	76.401389
Q3	108.28833
95-th percentile	128.61556
Maximum	128.61556
Range	128.61556
Interquartile range (IQR)	83.646944

Descriptive statistics

Standard deviation	43.231187
Coefficient of variation (CV)	0.58231931
Kurtosis	-1.04542
Mean	74.239659
Median Absolute Deviation (MAD)	31.886944
Skewness	-0.54054934
Sum	33482.086
Variance	1868.9355
Monotonicity	Increasing

Histogram with fixed size bins (bins=20)

Value	Count	Frequency (%)
76.40138889	71	15.7%
4.024722222	50	11.1%
108.2883333	46	10.2%
128.6155556	44	9.8%
91.34388889	42	9.3%
119.1627778	30	6.7%
0	22	4.9%
16.85777778	22	4.9%
75.08416667	21	4.7%
61.53472222	19	4.2%
Other values (10)	84	18.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	22	4.9%
2.434166667	4	0.9%
4.024722222	50	11.1%
16.85777778	22	4.9%
24.64138889	17	3.8%
27.96166667	4	0.9%
61.53472222	19	4.2%
75.08416667	21	4.7%
76.40138889	71	15.7%
78.44916667	11	2.4%

Value	Count	Frequency (%)
128.6155556	44	9.8%
122.2505556	1	0.2%
122.0025	8	1.8%
121.4097222	18	4.0%
119.1627778	30	6.7%
108.2883333	46	10.2%
95.9425	13	2.9%
94.96722222	7	1.6%
91.34388889	42	9.3%
88.7825	1	0.2%

Predicted post score
Real number (ℝ)

HIGH CORRELATION

Distinct	20
Distinct (%)	4.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	8.7253662

Minimum	7.0458641
Maximum	10.080316
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	3.6 KiB

Quantile statistics

Minimum	7.0458641
5-th percentile	7.0937846
Q1	7.5463001
median	8.7162463
Q3	9.5255847
95-th percentile	10.080316
Maximum	10.080316
Range	3.0344522
Interquartile range (IQR)	1.9792846

Descriptive statistics

Standard deviation	1.015219
Coefficient of variation (CV)	0.1163526
Kurtosis	-1.1075259
Mean	8.7253662
Median Absolute Deviation (MAD)	0.80933837
Skewness	-0.41644853
Sum	3935.1401
Variance	1.0306696
Monotonicity	Increasing

Histogram with fixed size bins (bins=20)

Value	Count	Frequency (%)
8.716246294	71	15.7%
7.12527313	50	11.1%
9.525584669	46	10.2%
10.08031628	44	9.8%
9.086571581	42	9.3%
9.818441099	30	6.7%
7.045864067	22	4.9%
7.384499073	22	4.9%
8.684334127	21	4.7%
8.362779448	19	4.2%
Other values (10)	84	18.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
7.045864067	22	4.9%
7.093784559	4	0.9%
7.12527313	50	11.1%
7.384499073	22	4.9%
7.546300068	17	3.8%
7.616394207	4	0.9%
8.362779448	19	4.2%
8.684334127	21	4.7%
8.716246294	71	15.7%
8.766090553	11	2.4%

Value	Count	Frequency (%)
10.08031628	44	9.8%
9.903226485	1	0.2%
9.896388318	8	1.8%
9.880066285	18	4.0%
9.818441099	30	6.7%
9.525584669	46	10.2%
9.203676286	13	2.9%
9.178715166	7	1.6%
9.086571581	42	9.3%
9.021992524	1	0.2%

Auto

Heatmap
Table

	Predicted post score	Time Since Post	comment score	engagement_percentage	engagement_score	number of comments	post flag	post id	post score	post title	post url	posted by
Predicted post score	1.000	1.000	-0.072	-0.020	-0.020	-0.063	0.111	0.986	0.189	0.986	0.986	0.986
Time Since Post	1.000	1.000	-0.072	-0.020	-0.020	-0.063	0.124	0.987	0.189	0.987	0.987	0.987
comment score	-0.072	-0.072	1.000	0.107	0.107	0.057	0.000	0.000	0.161	0.000	0.000	0.000
engagement_percentage	-0.020	-0.020	0.107	1.000	1.000	0.981	0.104	0.985	0.776	0.985	0.985	0.985
engagement_score	-0.020	-0.020	0.107	1.000	1.000	0.981	0.104	0.985	0.776	0.985	0.985	0.985
number of comments	-0.063	-0.063	0.057	0.981	0.981	1.000	0.074	0.986	0.695	0.986	0.986	0.986
post flag	0.111	0.124	0.000	0.104	0.104	0.074	1.000	0.130	0.111	0.130	0.130	0.130
post id	0.986	0.987	0.000	0.985	0.985	0.986	0.130	1.000	0.985	1.000	1.000	1.000
post score	0.189	0.189	0.161	0.776	0.776	0.695	0.111	0.985	1.000	0.985	0.985	0.985
post title	0.986	0.987	0.000	0.985	0.985	0.986	0.130	1.000	0.985	1.000	1.000	1.000
post url	0.986	0.987	0.000	0.985	0.985	0.986	0.130	1.000	0.985	1.000	1.000	1.000
posted by	0.986	0.987	0.000	0.985	0.985	0.986	0.130	1.000	0.985	1.000	1.000	1.000

Count
Matrix

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

First rows
Last rows

	post id	post title	post url	post score	posted by	post date	nsfw	number of comments	comment id	comment author	comment score	comment body	comment date	parsed post date	post flag	engagement_score	engagement_percentage	Predicted post score
0	1i91b7m	Which type of onions do you like best when cooking indian food?	https://www.reddit.com/r/IndianFood/comments/1i91b7m/which_type_of_onions_do_you_like_best_when/	5	krishnab75	2025-01-24 17:48:16	False	23	m8yb17e	MrMcgoomom	13	Red. Always. Thankfully they are now more widely available in the US. A few years ago I struggled to find red onions, cilantro and green chillies n grocery stores.	2025-01-24 18:21:45	2025-01-24 17:48:16	Only Text(No spam)	39.5	0.308594	7.045864
1	1i91b7m	Which type of onions do you like best when cooking indian food?	https://www.reddit.com/r/IndianFood/comments/1i91b7m/which_type_of_onions_do_you_like_best_when/	5	krishnab75	2025-01-24 17:48:16	False	23	m8yewgd	cymshah	3	Depends on what I'm making. \nTomato-onion gravies (pav bhaji, chole chana, etc.) Use almost always red onions or whatever is on hand. \nFor biryani/pulao, shallots. \nIn salads, white or red onions. \nOnion pakora - red or large yellow onions	2025-01-24 18:39:38	2025-01-24 17:48:16	Only Text(No spam)	39.5	0.308594	7.045864
2	1i91b7m	Which type of onions do you like best when cooking indian food?	https://www.reddit.com/r/IndianFood/comments/1i91b7m/which_type_of_onions_do_you_like_best_when/	5	krishnab75	2025-01-24 17:48:16	False	23	m8y8ia0	No-Record3007	6	Also in America. Red onions. White ones don’t hold the flavour and nobody likes the white ones , even in salads.	2025-01-24 18:10:01	2025-01-24 17:48:16	Only Text(No spam)	39.5	0.308594	7.045864
3	1i91b7m	Which type of onions do you like best when cooking indian food?	https://www.reddit.com/r/IndianFood/comments/1i91b7m/which_type_of_onions_do_you_like_best_when/	5	krishnab75	2025-01-24 17:48:16	False	23	m8y5e3c	shay7700	6	I’m Gujarati in America. We use yellow onions in cooking and a sweet white onion for salads	2025-01-24 17:55:36	2025-01-24 17:48:16	Only Text(No spam)	39.5	0.308594	7.045864
4	1i91b7m	Which type of onions do you like best when cooking indian food?	https://www.reddit.com/r/IndianFood/comments/1i91b7m/which_type_of_onions_do_you_like_best_when/	5	krishnab75	2025-01-24 17:48:16	False	23	m8ycf4l	MattSk87	2	Small red onions or shallots. Red ones are much cheaper.	2025-01-24 18:28:08	2025-01-24 17:48:16	Only Text(No spam)	39.5	0.308594	7.045864
5	1i91b7m	Which type of onions do you like best when cooking indian food?	https://www.reddit.com/r/IndianFood/comments/1i91b7m/which_type_of_onions_do_you_like_best_when/	5	krishnab75	2025-01-24 17:48:16	False	23	m8yew7r	Suitable_Secret5548	2	Red onions, in Kerala . And shallots	2025-01-24 18:39:37	2025-01-24 17:48:16	Only Text(No spam)	39.5	0.308594	7.045864
6	1i91b7m	Which type of onions do you like best when cooking indian food?	https://www.reddit.com/r/IndianFood/comments/1i91b7m/which_type_of_onions_do_you_like_best_when/	5	krishnab75	2025-01-24 17:48:16	False	23	m8yhnyx	MeeMawsBigToe	2	Always red	2025-01-24 18:52:26	2025-01-24 17:48:16	Too Short Message	39.5	0.308594	7.045864
7	1i91b7m	Which type of onions do you like best when cooking indian food?	https://www.reddit.com/r/IndianFood/comments/1i91b7m/which_type_of_onions_do_you_like_best_when/	5	krishnab75	2025-01-24 17:48:16	False	23	m8ym7vj	Educational-Duck-999	2	Red is best, or Yellow if not available. I feel red onions are closer to onions in India	2025-01-24 19:13:34	2025-01-24 17:48:16	Only Text(No spam)	39.5	0.308594	7.045864
8	1i91b7m	Which type of onions do you like best when cooking indian food?	https://www.reddit.com/r/IndianFood/comments/1i91b7m/which_type_of_onions_do_you_like_best_when/	5	krishnab75	2025-01-24 17:48:16	False	23	m8y4dyq	Late-Warning7849	5	‘Onions’ in India are actually shallots	2025-01-24 17:51:02	2025-01-24 17:48:16	Only Text(No spam)	39.5	0.308594	7.045864
9	1i91b7m	Which type of onions do you like best when cooking indian food?	https://www.reddit.com/r/IndianFood/comments/1i91b7m/which_type_of_onions_do_you_like_best_when/	5	krishnab75	2025-01-24 17:48:16	False	23	m8ya0io	KrVrAr	1	Great question that I've wondered about as well. I'm in Spain and we get red and yellow onions. I usually use the white and occasionally red... I'm not sure if I can tell the difference but I also like spicy food so maybe that dominants the flavor? \n\nInterested to see what others have to say!	2025-01-24 18:17:01	2025-01-24 17:48:16	Only Text(No spam)	39.5	0.308594	7.045864

	post id	post title	post url	post score	posted by	post date	nsfw	number of comments	comment id	comment author	comment score	comment body	comment date	parsed post date	post flag	engagement_score	engagement_percentage	Time Since Post	Predicted post score
441	1i4ulhz	How to consume amla without the sour taste?	https://www.reddit.com/r/IndianFood/comments/1i4ulhz/how_to_consume_amla_without_the_sour_taste/	8	cool_cat1549	2025-01-19 09:11:20	False	44	m7zoupj	cool_cat1549	1	Okay, I've never heard of this before\nI'll check it out !	2025-01-19 15:15:08	2025-01-19 09:11:20	Only Text(No spam)	74.0	0.578125	128.615556	10.080316
442	1i4ulhz	How to consume amla without the sour taste?	https://www.reddit.com/r/IndianFood/comments/1i4ulhz/how_to_consume_amla_without_the_sour_taste/	8	cool_cat1549	2025-01-19 09:11:20	False	44	m7zp8mw	cool_cat1549	1	What to have the chutney with?	2025-01-19 15:17:06	2025-01-19 09:11:20	Only Text(No spam)	74.0	0.578125	128.615556	10.080316
443	1i4ulhz	How to consume amla without the sour taste?	https://www.reddit.com/r/IndianFood/comments/1i4ulhz/how_to_consume_amla_without_the_sour_taste/	8	cool_cat1549	2025-01-19 09:11:20	False	44	m7zo0l8	thecutegirl06	2	Vit C supplements will be fine	2025-01-19 15:10:49	2025-01-19 09:11:20	Only Text(No spam)	74.0	0.578125	128.615556	10.080316
444	1i4ulhz	How to consume amla without the sour taste?	https://www.reddit.com/r/IndianFood/comments/1i4ulhz/how_to_consume_amla_without_the_sour_taste/	8	cool_cat1549	2025-01-19 09:11:20	False	44	m86bcdh	lostlamb7788	1	Capsule	2025-01-20 15:42:34	2025-01-19 09:11:20	Too Short Message	74.0	0.578125	128.615556	10.080316
445	1i4ulhz	How to consume amla without the sour taste?	https://www.reddit.com/r/IndianFood/comments/1i4ulhz/how_to_consume_amla_without_the_sour_taste/	8	cool_cat1549	2025-01-19 09:11:20	False	44	m812xkv	littlecloudberry	1	You’re welcome. Best of luck with your health!	2025-01-19 19:12:12	2025-01-19 09:11:20	Only Text(No spam)	74.0	0.578125	128.615556	10.080316
446	1i4ulhz	How to consume amla without the sour taste?	https://www.reddit.com/r/IndianFood/comments/1i4ulhz/how_to_consume_amla_without_the_sour_taste/	8	cool_cat1549	2025-01-19 09:11:20	False	44	m80x2vo	skin_bee	3	Yeah vit C is heat sensitive. And also a lot of antioxidants lose their potency upon being heated. \nWell if you absolutely don't like the taste then its okay. You can eat steamed amlas.. atleast something is better than nothing right. \nTry to mix and match (somedays raw somedays steamed) so you can get maximum possible benefits.	2025-01-19 18:44:42	2025-01-19 09:11:20	Only Text(No spam)	74.0	0.578125	128.615556	10.080316
447	1i4ulhz	How to consume amla without the sour taste?	https://www.reddit.com/r/IndianFood/comments/1i4ulhz/how_to_consume_amla_without_the_sour_taste/	8	cool_cat1549	2025-01-19 09:11:20	False	44	m7zp1wc	violet5748	2	I have an auntie who puts a few amlas in her smoothie drink. Never knew why she did it 😊	2025-01-19 15:16:09	2025-01-19 09:11:20	Only Text(No spam)	74.0	0.578125	128.615556	10.080316
448	1i4ulhz	How to consume amla without the sour taste?	https://www.reddit.com/r/IndianFood/comments/1i4ulhz/how_to_consume_amla_without_the_sour_taste/	8	cool_cat1549	2025-01-19 09:11:20	False	44	m8arm4f	artsy_introvert014	1	Amla is really good for hairs. I ate 1 amla everyday for just 1 week and my hairfall drastically reduced.	2025-01-21 04:50:25	2025-01-19 09:11:20	Only Text(No spam)	74.0	0.578125	128.615556	10.080316
449	1i4ulhz	How to consume amla without the sour taste?	https://www.reddit.com/r/IndianFood/comments/1i4ulhz/how_to_consume_amla_without_the_sour_taste/	8	cool_cat1549	2025-01-19 09:11:20	False	44	m80fr25	forelsketparadise1	1	You chop up whatever veggie you want to use or and put it in an open container big enough for you to stir and take water out of it. Then you add three spoons of grinded mustard seeds and salt to taste and fill it up with water and let it sit for three days to ferment either in sunlight or just like that and you have your probiotic drink ready. Usually you make it in plain water without vegetables and use vada from dahi vada and have kanji vada pr it's made of black carrots in winter with beatroot root added to it but you can really use any vegetables or fruits that are good for your gut. \n\nI had found this amla and fresh turmeric one recently and it tasted great. For that use 4 Amla and two whole turmeric. You can add one or two chillies too	2025-01-19 17:24:11	2025-01-19 09:11:20	Only Text(No spam)	74.0	0.578125	128.615556	10.080316
450	1i4ulhz	How to consume amla without the sour taste?	https://www.reddit.com/r/IndianFood/comments/1i4ulhz/how_to_consume_amla_without_the_sour_taste/	8	cool_cat1549	2025-01-19 09:11:20	False	44	m847a8w	whatliesinameme	1	With paratha/ rice or as is; your wish	2025-01-20 05:26:15	2025-01-19 09:11:20	Only Text(No spam)	74.0	0.578125	128.615556	10.080316

Overview

Variables

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)